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Background: Suicide is a leading cause of death worldwide. This is the first study in Bangladesh to find out the psychiatric morbidity profile and suicidal behavior. The study was aimed to delineate the types of suicidal behavior and the psychiatric morbidity profile, and sociodemographic status of patients. Methods: A descriptive cross-sectional study was done in Depatrment of Psychiatry, Cumilla Medical College, Cumilla from October 2015 to March 2017. A total 120 patient aged 9 to 40 years who fulfilled the enrolment criteria included in the study. The Composite International Diagnostic Interview (CIDI) module was used to assess the suicidal behavior. DSM-5 was used to diagnose the psychiatric disorders. Semi structural questionnaire were used for collecting information about the risk factors for psychiatric morbidity and sociodemographic information. Result: Of 120 suicidal behavior patients' psychiatric disorders was 65%. Among suicidal behavior patients neurotic disorders was 19%, psychotic disorders was 15%, personality disorders was 39% and others disorder was 27%. Among 78 psychiatric patients borderline personality disorder was 25.64%, adjustment disorders were 15.38%, mood disorders were 11.53%, psychotic disorder was 7.69%, multiple personality disorder and oppositional defiant disorder were 6.42%, hystrionic personality disorder and substance use disorder were 3.84%, antisocial personality disorder, conduct disorder and anxiety disorder were 2.57%, and composite disorder was 11.53%. Among suicidal behavior in psychiatric patients suicidal ideation was 54, suicidal plan was 13, suicidal attempt was 45, ideators only proceeded to plan was 17, ideation to attempt was 59. Among suicidal behavior in total 120 participants suicidal ideation was 84, suicidal plan was 19, suicidal attempt was 56, ideators only proceeded to plan was 26, ideation to attempt was 76, planned attempt was 14 and impulsive attempt was 62. Most of the suicidal behavior participants were female (77.5%) and age group of <24 years (60%). Conclusions: Psychiatric disorders are important risk factors for the onset and persistence of suicidal behaviour, with this risk being the greatest in childhood, and early adult. [ABSTRACT FROM AUTHOR]

Background: Minimal Hepatic Encephalopathy, the mildest from of Hepatic Encephalopathy is characterized by subtle motor and cognitive deficits and impairs health related quality of life. Though the prevalence of Minimal Hepatic Encephalopathy in cirrhotic patient is high but awareness regarding MHE is yet not satisfactory. Moreover diagnosis of MHE, the cut off normative value for psychometric test is yet not established in Bangladesh. This is the first study in Bangladesh to find out the normative value for psychometric test and see the prevalence of Minimal Hepatic Encephalopathy in cirrhotic patient. Methods: Cross sectional study done in Department of Hepatology, BSMMU, Dhaka from July 2012 to June 2014. Total 150 patient of which 50 patient with cirrhosis and remaining 100 healthy individual were included in the study. By doing number connection test, Serial dotting test and line tracing test in healthy individual, first normative values for psychometric test was detected then these test was done on cirrhotic patient, whose 2 psychometric test result among 3 above normal value were enrolled as a case of Minimal Hepatic Encephalopathy. None of the patient previously diagnosed as any type of Hepatic Encephalopathy. Results: Cut off normative value for NCT, SDT, LTT is 52 seconds, 52 seconds and 84 seconds respectively (Mean+2SD). Prevalence of Minimal Hepatic Encephalopathy in this study was 66% and it is more prevalent in advanced cirrhosis. Conclusion: MHE is frequent in patient with liver cirrhosis, manifested even in patient with child pugh A liver cirrhosis. Every attention should be given to detect Minimal Hepatic Encephalopathy in patient with cirrhosis of liver well before the development of overt Hepatic Encephalopathy. [ABSTRACT FROM AUTHOR]

Non-alcoholic fatty liver disease (NAFLD) is found in one-fourth of the world population and its prevalence is rising. Screening of NAFLD in general population with ultrasonography (USG) is not a cost- effective approach. Alternative methods for prediction of NAFLD are needed. We conducted this study to assess whether basal metabolic index (BMI), waist circumference (WC), waist height ratio (WHtR) is useful for predicting NAFLD. This study was done in a village of Comilla District, Bangladesh from July 2019 to December 2019. Two hundred and nineteen (219) subjects with NAFLD detected on USG and 100 healthy controls without NAFLD were included in this study. The diagnosis of NAFLD was made on the basis of USG by a radiologist. BMI, WC, WHtR were calculated. The area under the curve (AUC) in the receiver operating characteristic (ROC) was calculated to assess the diagnostic ability of BMI, WC, and WHtR for predicting NAFLD. Sensitivity and specificity with optimal cut-off point was calculated. Data were entered into SPSS16for statistical analysis. Mean age in NAFLD group was 45.11±13.50 years. The AUROC values were 0.832, 0.763 and 0.771 for BMI, WC and WHtR respectively. The Cut-off values were 24.4 for BMI, 75.60 for WC and 0.54 for WHtR. Sensitivity and specificity were 80.24%and 79.12% for BMI, 82.34% and 80.45% for WC, 79.56% and 78.98% for WHtR respectively. ROC for BMI, WC and WHtR were above the diagonal line with high sensitivity and specificity. BMI, waist circumference, waist height ratio is useful for predicting NAFLD in rural Bangladeshi population. We can use these simple anthropometric indices as a screening tool for detection of NAFLD in primary health care set up.

Suicide is one of the important cause of death worldwide. The precise effect of childhood adversities as risk factors for the onset and persistence of suicidal behaviour are not well understood. A descriptive cross sectional study was carried out in the department of Psychiatry, Cumilla Medical College, Cumilla, Bangladesh. All cases were selected from patients attending at Cumilla Medical College hospital and Private Hospitals in Cumilla City from April 2017 to September 2018. We found out the association between childhood adversities and suicidal behaviour over the life course and delineated the types of suicidal behavior. Total 120 cases were included in the study. Respondents provided socio-demographic and diagnostic information, childhood adversities as well as an account of suicide-related thoughts and behaviours. A participation rate was 77.5% female. Of 120 suicidal behavior participants physical abuse was 2.5%, sexual abuse was 16.67%, parental death was 5%, parental divorce was 2.5%, other parental loss was 4.17%, family violence was 5%, physical illness was 1.67%, financial adversity was 3.33% and composite adversity was 59.16%. Among childhood adversities participants suicidal ideation was 70%, suicidal plans was 15.83%, suicidal attempts was 45%, ideators only proceeded to plans was 22.5%, ideation to attempt was 63.33%, planned attempts was 10.83% and impulsive attempts was 52.5%. Among suicidal behavior participant's psychiatric disorders were 65%. Where neurotic disorders were 17%, psychotic disorders were 13%, personality disorders were 44% and others disorder was 26%. Most of the suicidal behavior patients were female 77.5% and age group of 18-24 years. Childhood sexual abuse emerged as a particularly robust risk factor for suicide attempts in younger participants. Childhood physical and sexual abuse emerged as risk factors for the emergence and persistence of suicidal behaviour, especially in adolescence. Two or more childhood adversities were associated with a three fold higher risk of lifetime suicide attempts. Childhood adversities are main risk factors for the onset and persistence of suicidal behaviour. The risks being are the greatest in childhood, adolescence and early adult. A longitudinal follow-up study is required to give a more reliable in Bangladesh.

Studies of the impact of mental disorders on educational attainment are rare. Mental disorders, those beginning in childhood or adolescence may increase the risk of early drop out from education. The latter has been shown to have adverse life-course consequences on individuals such as greater demand on social welfare entitlements. A descriptive cross sectional study was carried out at the department of Psychiatry, Comilla Medical College, Comilla, Bangladesh. All cases were selected from patients attending at Comilla Medical College Hospital and Private Mental Health Facilities in Comilla City from March 2015 to February 2016. We found out the psychiatric disorders and socio-demographic status of patients with educational drop out over the early life course. A total of 50 dropout patients aged 10 to 30 years who fullfiled the enrolment criteria included in the study. Sociodemographic questionnaires, diagnostic information (DSM-5 and ICD-10) as well as an account of a various level of education were used as research instruments. The Frequency tables, summary tables and appropriate graphs were prepared to describe the population characteristics and study finding. The most of the psychiatric morbidity presents in male (62%) and age group of 18-24 years (54%). In this study, anxiety disorders was 8%, behaviour/ impulse control disorders was 8%, mood disorders was 16%, substance use disorders was 24%, schizophrenia spectrum disorders was 12% and composite psychiatric disorders was 32%. Among drop out patient's non- completion of primary education was 14%, non-completion of secondary education was 20%, non- completion of higher secondary education was 24%, not entry to tertiary education was 12% and non-completion of tertiary education was 30%. Among behaviour/impulse control disorders non-completion of primary education was 6%, substance use disorders non-completion of higher secondary education was 10%, mood disorder both non-completion of higher secondary education and non-completion of tertiary education were 6%. Among composite psychiatric disorders non-completion of secondary education, non-completion of higher secondary education and non-completion of tertiary education were 8%, 6% and 12% respectively. Onset of mental disorders and subsequent drop out from education was found in this study. Further multi-centered prospective and population-based studies should be designed to find out the exact situation.